Modeling the decision process for barley yellow dwarf management

摘要: Models were created to emulate experts in barley yellow dwarf management.Treated seed, planting date, scouting time, and insecticide spray decisions modeled.Dependency network models simplify complex sets of conditions.These methods can easily be used manage other pests diseases.Models will disseminate real-time information on smartphone app website. Since the 1980s, expert decision support systems (DSSs) have been explored for enhancement agricultural decision-making. Combinations DSSs cyber-age technology, such as mobile devices, is increasing adoption accuracy these allow modified incorporate new web-based resources they become available. Using (BYD), a disease caused by several aphid-vectored viruses, model system we DSS winter wheat growers based dependency networks. At key points throughout growing season networks interpret how field conditions may affect management recommendations BYD wheat. To address nine possible analyze 72,387 combinations input conditions. This method modeling potentially provide enable efficient crop diseases more sustainable agroecosystem. The was use device which produce recommendations, emulating experts. Coupling this with high resolution weather, pest, forecasts prove powerful tool future.